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Hi if someone could help me with this Python program dealing with a Graph depth-first search with a stack, I would greatly appreciate it very

Hi if someone could help me with this Python program dealing with a Graph depth-first search with a stack, I would greatly appreciate it very much!

Using Python, you will write a program that implements the Algorithm below:

StackDFS(G, node) > visited

Input: G = (V, E), a graph

node, the starting vertex in G

Output: visited, an array of size |V| such that visited|i| is TRUE if we have visited node i, FALSE otherwise

S < CreateStack()

visited < CreateArray(|V|)

for i < 0 to |V| do

visited|i| < FALSE

Push(S, node)

while not IsStackEmpty(S) do

c < Pop(s)

visited|c| < TRUE

foreach v in AdjacencyList(G, c) do

if not visited|v| then

Push(S, v)

return visited

  1. Use an adjacency matrix (i.e., a two-dimensional array, or, in Python, a list of lists).
  2. You may use ANY list method you wish (e.g., append, pop, etc.).

IMPLEMENTATION DETAILS:

  1. Your program should begin by prompting the user for the number of vertices, V, in the graph, G.
  2. Your program will represent the graph G using an adjacency matrix, which is a square matrix with a row and a column for each vertex. Thus, your program will need to create a matrix M that consists of a V x Vtwo-dimensional array -- in Python, a list of lists. (I recommend that your program initialize each element of the matrix equal to zero.)
  3. Next, your program should prompt the user to indicate which elements in the matrix should be assigned the value of 1 (i.e., information about vertices). Recall that each element in the matrix is the intersection of a row and a column.
  4. The result of step 4 should be an adjacency matrix representation of a graph, G.
  5. At this point, your program should print the newly-created adjacency matrix on the screen.
  6. Next, your program should prompt the user to specify node -- i.e., the starting vertex in G.
  7. From here, you then proceed with the implementation of Algorithm 2.3, with the following enhancements:
    • Be sure to use the newly-created adjacency matrix, instead of an adjacency list.
    • Immediately following line 5 (but before line 6) of Algorithm 2.3, your program should print the values currently on the stack.
    • At the end of the while block, your program should print the values currently on the stack.

In effect, the result of step 8 above should be a display of the stack evolution for your implementation of the DFS algorithm on graph G.

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